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Branislav Kveton
Branislav Kveton
Adobe Research
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Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
18th International Conference on Artificial Intelligence and Statistics, 2015
3362015
Cascading Bandits: Learning to Rank in the Cascade Model
B Kveton, C Szepesvari, Z Wen, A Ashkan
32nd International Conference on Machine Learning, 2015
3232015
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
J Kawale, H Bui, B Kveton, L Tran-Thanh, S Chawla
Advances in Neural Information Processing Systems 28, 1297-1305, 2015
2232015
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback
Z Wen, B Kveton, M Valko, S Vaswani
Advances in Neural Information Processing Systems 30, 3022-3032, 2017
153*2017
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit
Y Cao, Z Wen, B Kveton, Y Xie
22nd International Conference on Artificial Intelligence and Statistics, 418-427, 2019
152*2019
User Identification and Personalized Vehicle Settings Management System
VB Lortz, B Kveton, VS Kesavan, S Rathi, AP Rangarajan
US Patent 9,862,352, 2018
1352018
Spectral Bandits for Smooth Graph Functions
M Valko, R Munos, B Kveton, T Kocák
31st International Conference on Machine Learning, 2014
1352014
Combinatorial Cascading Bandits
B Kveton, Z Wen, A Ashkan, C Szepesvari
Advances in Neural Information Processing Systems 28, 1450-1458, 2015
1332015
Matroid Bandits: Fast Combinatorial Optimization with Learning
B Kveton, Z Wen, A Ashkan, H Eydgahi, B Eriksson
30th Conference on Uncertainty in Artificial Intelligence, 2014
1322014
Cascading Bandits for Large-Scale Recommendation Problems
S Zong, H Ni, K Sung, NR Ke, Z Wen, B Kveton
32nd Conference on Uncertainty in Artificial Intelligence, 2016
1302016
Optimal Greedy Diversity for Recommendation
A Ashkan, B Kveton, S Berkovsky, Z Wen
24th International Joint Conference on Artificial Intelligence, 1742-1748, 2015
1232015
Leveraging Side Observations in Stochastic Bandits
S Caron, B Kveton, M Lelarge, S Bhagat
28th Conference on Uncertainty in Artificial Intelligence, 2012
1222012
Randomized Exploration in Generalized Linear Bandits
B Kveton, M Zaheer, C Szepesvari, L Li, M Ghavamzadeh, C Boutilier
23rd International Conference on Artificial Intelligence and Statistics …, 2020
1122020
Online Learning to Rank in Stochastic Click Models
M Zoghi, T Tunys, M Ghavamzadeh, B Kveton, C Szepesvari, Z Wen
34th International Conference on Machine Learning, 4199-4208, 2017
1122017
Efficient Learning in Large-Scale Combinatorial Semi-Bandits
Z Wen, B Kveton, A Ashkan
32nd International Conference on Machine Learning, 1113–1122, 2015
1122015
Solving Factored MDPs with Continuous and Discrete Variables
C Guestrin, M Hauskrecht, B Kveton
20th Conference on Uncertainty in Artificial Intelligence, 235-242, 2004
962004
DCM Bandits: Learning to Rank with Multiple Clicks
S Katariya, B Kveton, C Szepesvari, Z Wen
33rd International Conference on Machine Learning, 2016
942016
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
D Dash, B Kveton, JM Agosta, E Schooler, J Chandrashekar, A Bachrach, ...
21st National Conference on Artificial Intelligence, 1115-1122, 2006
942006
Managing your private and public data: Bringing down inference attacks against your privacy
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ...
IEEE Journal of Selected Topics in Signal Processing 9 (7), 1240-1255, 2015
902015
Model-Independent Online Learning for Influence Maximization
S Vaswani, B Kveton, Z Wen, M Ghavamzadeh, LVS Lakshmanan, ...
34th International Conference on Machine Learning, 3530-3539, 2017
87*2017
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Artikelen 1–20